Transformative Potential Research Articles

Human-Computer Interaction, and Virtual Reality Applications for Memory Enhancement

Human-Computer Interaction (HCI) and Virtual Reality (VR) technologies are redefining the boundaries of cognitive enhancement, particularly in the domain of memory improvement. By immersing users in interactive virtual environments, VR offers unique opportunities to engage multiple sensory modalities and enhance memory encoding, storage, and retrieval processes. This research explores the integration of HCI principles and VR applications to develop innovative solutions for memory enhancement. Key areas of focus include the design of adaptive VR environments tailored to individual cognitive needs, the role of gamification in reinforcing memory, and the application of biofeedback for real-time user monitoring. The study also examines challenges such as user adaptability, accessibility, and the ethical considerations of using immersive technology for cognitive interventions. Through case studies and experimental findings, this research highlights the transformative potential of VR in memory training, particularly for educational purposes and memory rehabilitation. By merging HCI methodologies with VR technology, the study offers a comprehensive framework for enhancing memory, paving the way for innovative tools that benefit diverse populations.

AI-Driven Adaptive Ventilation Systems For Real-Time Pollution Control In Industrial And Urban Settings: A Systematic Review

The escalating urbanization and industrial activities in cities have significantly impacted air quality, posing health risks and environmental challenges that demand innovative solutions. This review systematically explores the integration of artificial intelligence (AI) and Internet of Things (IoT) sensors within smart cities, focusing on their role in real-time air quality monitoring and dynamic response mechanisms. By adhering to PRISMA guidelines, we analyze recent advancements in AI-driven automated control systems, which utilize IoT sensors to continuously monitor pollutants, including nitrogen dioxide (NO₂), sulfur dioxide (SO₂), carbon monoxide (CO), and particulate matter (PM). The data gathered by these sensors feed into AI algorithms that facilitate immediate, adaptive responses, such as modifying traffic light sequences to alleviate congestion and notifying nearby facilities to adjust emissions during high pollution periods. This review synthesizes findings on the effectiveness, limitations, and scalability of these systems, highlighting key challenges like sensor data accuracy, privacy considerations, and the infrastructure required for city-wide deployment. The paper concludes by emphasizing the transformative potential of AI and IoT in fostering sustainable urban environments and presents recommendations for future research and policy improvements to optimize smart city air quality management.

Exploring the Role of Emotional and Spiritual Intelligence in enhancing Teaching Competency: A Study on the Influence of Personal Growth and Interpersonal Skills on Educator effectiveness

This study examines the role of emotional intelligence (EI) and spiritual intelligence (SI) in enhancing teaching competency, emphasizing the mediating influence of personal growth and interpersonal skills on educator effectiveness. Emotional intelligence, which encompasses self-awareness, emotional regulation, empathy, and social skills, enables teachers to manage classroom dynamics, foster meaningful relationships, and create supportive learning environments. Similarly, spiritual intelligence, defined by purpose-driven actions, ethical alignment, and resilience, equips educators to inspire students holistically while maintaining balance and moral integrity in their professional roles. The interplay of these intelligences with personal growth, characterized by self-reflection, adaptability, and continuous learning, further enriches teaching practices, enabling educators to respond effectively to evolving classroom challenges. Interpersonal skills, including communication, collaboration, and conflict resolution, are integral to building constructive relationships with students, colleagues, and parents, amplifying the impact of EI and SI on teaching effectiveness. Employing a mixed methods approach, the study combines quantitative measures of EI, SI, and teaching competency with qualitative insights from interviews and focus groups to provide a comprehensive understanding of these dynamics. Findings highlight the transformative potential of integrating EI and SI into teacher training programs, fostering a holistic approach to professional development that prioritizes emotional and spiritual dimensions alongside technical expertise. The study underscores the importance of fostering these intelligences to empower educators to navigate the complexities of modern education with resilience, empathy, and purpose. By advancing a framework that integrates emotional and spiritual intelligence with personal and interpersonal development, this research contributes to the growing body of knowledge advocating for a more inclusive and value-driven approach to enhancing teaching competency and improving educational outcomes.

Integrating Artificial Intelligence in Autonomous Cashier Systems: A Study on Functional Schema Design and Its Impact on Supermarket Operations

This integrative literature review (ILR) explores the transformative potential of artificial intelligence (AI) in optimizing in-store logistics, a crucial aspect for retail environments striving to meet growing consumer demands for convenience and quick product availability. It aims to provide retail managers and logistics specialists with actionable insights on AI-driven tools that enhance competitiveness by improving inventory management and space utilization in retail settings. The conceptual framework is framed by functional schema design, user acceptance and experience, operational efficiency, data security and privacy, and equitable access, emphasizing the ethical and inclusive implementation of technology. Key findings suggest that AI improves demand accuracy, reduces inventory mismatches, and enables adaptable store layouts that respond dynamically to real-time consumer behavior, creating a more efficient, responsive, and customer-centered retail environment. Additionally, this study examines the adoption of AI in cashier systems as a response to evolving consumer expectations for efficient digital shopping experiences, revealing that AI-enabled cashier systems significantly reduce wait times and operational costs while providing personalized experiences through real-time analytics. However, challenges such as robust data security protocols, inclusive design for diverse user groups, and employee reskilling remain critical as automation progresses. Recommendations focus on privacy-enhancing data practices, user-friendly interfaces, and hybrid solutions combining human support with automation to foster inclusivity and consumer trust. Future research should address the long-term impacts of AI in retail, cultural adaptability, customer engagement, and secure data handling to support a balanced, customer-centered approach to automation in the retail sector.

Converging pathways: new approaches to integrate vocational education training and higher education

ABSTRACT The evolving professional landscape necessitates educational innovation to prepare students for emerging challenges. This paper explores the integration of Vocational Education and Training (VET) and Higher Education (HE) through double-degree programs, challenging the conventional perception of these pathways as independent. Recognising the transformative potential in synergising competencies from VET and HE, we advocate for enhancing students’ employability through collaborative curriculum design and shared learning objectives. Addressing limitations in the current VET-to-HE transition, we identify four criteria for successful double programs (i) coherent competency map, (ii) unified methodology, (iii) distinctive profile, (iv) own signalling. The paper concludes with a case study of an emerging dual VET/HE program in Navarra (Spain) built on the criteria outlined above.

Unlocking the Potential of Nigerian Schools through Effective Parental Involvement

Education is a cornerstone of societal progress and individual achievement, necessitating the active engagement of various stakeholders, particularly parents. This study explores the role of parental involvement in enhancing the effectiveness of school administration in Nigeria with particular focus on Lagos District IV, Nigeria. This study employs a descriptive survey design, focusing on secondary schools in Lagos District IV, including Surulere, Mainland, and Apapa. Data were collected from 132 participants—students, teachers, school administrators, and parents—through structured questionnaires. The study investigates how parental ties affect academic performance, school discipline, and overall management effectiveness. Hypotheses were tested using Pearson’s Product Moment Correlation Coefficient, revealing significant relationships between parental involvement and student outcomes, discipline, and school administration. The findings indicate that robust parental involvement positively influences student academic performance and school management. Schools that foster strong parental partnerships benefit from enhanced governance and improved student behavior. However, barriers such as socioeconomic challenges and communication gaps persist, underscoring the need for more inclusive engagement strategies. Recommendations include implementing structured parental engagement programs, enhancing government support, and addressing language and cultural barriers. In conclusion, this study highlights the transformative potential of parental involvement in Nigerian schools. Effective school administration and improved student outcomes are closely linked to active parental participation. Addressing existing barriers and fostering collaborative school environments are essential for maximizing the benefits of parental engagement.

The Future of Artificial Intelligence: Trends and Predictions

Artificial Intelligence (AI) has evolved rapidly, transforming diverse industries and societal functions. This paper provides a comprehensive overview of AI's current landscape, examining its advancements, applications, and ethical challenges. Key trends are explored, including innovations in machine learning and deep learning, AI’s expanding role across industries, and its potential for addressing climate change and sustainability. Furthermore, the paper highlights AI's role in enhancing human-machine collaboration, paving the way for systems that augment rather than replace human capabilities. Predictions for AI’s future are discussed, such as the emergence of artificial general intelligence (AGI), advancements in autonomous systems, the impact of quantum computing on AI, and innovations in AI-specific hardware. The paper also examines ethical and societal challenges, such as privacy, algorithmic bias, and the need for global governance, addressing the urgent call for responsible AI. In light of these trends, the paper emphasizes future research directions, encouraging interdisciplinary collaboration and a focus on explainable, robust, and resilient AI models. This work aims to shed light on the transformative potential of AI while advocating for ethical practices to ensure a positive and sustainable impact on society.

Refining Dijkstra's Algorithm: Employing Smart Solutions for Efficient Waste Management and Pollution Mitigation

This study explores the application of Dijkstra's algorithm to enhance waste disposal management systems, focusing on optimizing routing for efficient waste disposal. By modeling waste disposal pathways, the research aims to identify the shortest and most cost-effective routes, thereby reducing both pollution and operational costs. The analysis demonstrates that Dijkstra's algorithm can effectively streamline waste collection processes in Abakaliki, Ebonyi State, Nigeria, enabling the waste management board to minimize distance, time, and expenses associated with waste transportation. The developed model is both scalable and adaptable, promoting the integration of Geographic Information Systems (GIS) and real-time data for dynamic route optimization. The findings suggest significant potential for this approach not only in waste management but also in other domains such as traffic management and urban planning. This paper advocates for further exploration of user-friendly interfaces and alert systems to enhance operational efficiency. This research highlights the overall transformative potential of Dijkstra's algorithm in improving the sustainability and effectiveness of municipal services.

Tailoring of Novel Ru (III) and Cr (III) Salen Complexes as Catalysts for a Sustainable and Green Synthesis of Dihydro‐tetrazolo [1,5‐a] thiazolo [4,5‐d] pyrimidin‐6‐yl morpholine: Experimental and Theoretical Approaches

ABSTRACTTwo novel Cr (III) and Ru (III) salen complexes based on {3,4‐Bis‐[(5‐chloro‐2‐hydroxy‐benzylidene)‐amino]‐phenyl}‐phenyl‐methanone ligand (CSAB) were synthesized. The complexes were characterized using various spectral and analytical methods. The catalytic performance of the CSAB complexes was investigated via a four‐component condensation reaction involving aromatic aldehydes, rhodamine, morpholine, and 5‐aminotetrazole under mild, environmentally friendly conditions. Different Lewis acids, bases, ionic liquid catalysts, solvents, and catalyst amounts were assessed to optimize the reaction parameters. Both catalyst systems demonstrated robust catalytic activity under strictly managed conditions, with the heterogeneous catalyst CSAB‐Ru showing superior efficacy compared to the homogeneous CSAB‐Cr catalyst. The study confirmed the catalytic capabilities of both complexes and evaluated their recyclability and reusability. The heterogeneous catalyst (CSAB‐Ru) could be reused seven times, whereas the homogeneous catalyst (CSAB‐Cr) could be recycled four times. Both complexes demonstrated strong catalytic activity and selectivity, resulting in high product yields. The study provides insights into the synthetic applications of novel CSAB complexes, highlighting their potential in organic transformations. It emphasizes their ease of use, safety, stability, component availability, quick reaction times, and high yields, making them promising for future industrial applications.

Towards sustainable energy: a comprehensive review on hydrogen integration in renewable energy systems

As the world shifts towards sustainable energy sources, incorporating hydrogen into renewable energy systems emerges as a critical pathway. This thorough analysis delves deeply into the various facets of hydrogen integration, exploring its potential to revolutionize the energy landscape. Drawing upon recent advancements and research findings, the review examines the production, storage, and utilization of hydrogen within renewable energy frameworks. Key topics include electrolysis methods, storage technologies, and diverse applications spanning transportation, residential sectors, and industry. Furthermore, the review examines the obstacles and prospects linked with hydrogen integration, shedding light on policy frameworks, economic implications, and technological innovations driving its adoption. By offering insights into the multifaceted role of hydrogen, this review aims to inform researchers, stakeholders, and policymakers about the transformative potential of integrating green hydrogen into renewable energy systems for a sustainable future.

The role and impact of new technologies on healthcare systems

AbstractThe integration of new technologies into healthcare systems is revolutionizing the industry by significantly enhancing the capabilities of healthcare providers, improving patient outcomes, and optimizing administrative operations. This comprehensive examination critically assesses the impact of these technologies on various stakeholders within the healthcare ecosystem, highlighting both the benefits and challenges. Emerging technologies such as artificial intelligence (AI), which refers to the simulation of human intelligence by machines, the Internet of Things (IoT), which involves interconnected devices that collect and exchange health-related data in real time, Blockchain, which is a decentralized and tamper-proof ledger technology used to securely manage patient data, and wearable devices are explored for their potential applications in diagnostics, treatment, and patient monitoring. Despite their transformative potential, these technologies also bring forth a range of limitations and challenges, including ethical concerns regarding patient privacy, legal implications of data security, and technical hurdles related to interoperability and implementation. By addressing these issues, the healthcare industry can better navigate the complexities of technological advancement, ensuring that innovation contributes positively to patient care and operational efficiency.

ADVANCING PRECISION

Augmented reality (AR) technology is revolutionizing spine surgery, offering unprecedented intraoperative image guidance and enhancing patient safety, particularly in complex procedures. This presentation explores the expanding applications of AR in spinal surgery, highlighting recent technological advances that have transformed surgical practices. In addition to improving surgical precision and accuracy, AR provides real-time visualization of critical anatomical structures, aiding in navigation and decision-making during intricate spinal procedures. This presentation will delve into the benefits that AR brings compared to classical techniques, including enhanced visualization, improved spatial awareness, and reduced radiation exposure for both patients and surgical teams. By overlaying virtual information onto the surgeon’s view of the patient, AR facilitates a more intuitive understanding of complex spinal anatomy and pathology, leading to optimized surgical outcomes. Furthermore, this session will cover the diverse applications of AR in a range of spinal conditions operated in Royal Hallamshire Hospital, Sheffield, UK - including spinal tumors, calcified disc herniation, spinal CSF-venous fistula etc. By showcasing the benefits of AR technology across various pathologies, this presentation aims to underscore its transformative potential in advancing spinal surgical care.

Genetic Engineering in Bacteria, Fungi, and Oomycetes, Taking Advantage of CRISPR

Genetic engineering has revolutionized our ability to modify microorganisms for various applications in agriculture, medicine, and industry. This review examines recent advances in genetic engineering techniques for bacteria, fungi, and oomycetes, with a focus on CRISPR-Cas systems. In bacteria, CRISPR-Cas9 has enabled precise genome editing, enhancing applications in antibiotic production and metabolic engineering. For fungi, despite challenges associated with their complex cell structures, CRISPR/Cas9 has advanced the production of enzymes and secondary metabolites. In oomycetes, significant plant pathogens, modified Agrobacterium-mediated transformation, and CRISPR/Cas12a have contributed to developing disease-resistant crops. This review provides a comparative analysis of genetic engineering efficiencies across these microorganisms and addresses ethical and regulatory considerations. Future research directions include refining genetic tools to improve efficiency and expand applicability in non-model organisms. This comprehensive overview highlights the transformative potential of genetic engineering in microbiology and its implications for addressing global challenges in agriculture, medicine, and biotechnology.

The Potential of Non-Fungible Tokens (NFTs) In Enhancing Malaysia's Arts and Cultural Heritage Preservation

This study investigates the transformative potential of Non-Fungible Tokens (NFTs) in revolutionizing the marketing of artworks by Malaysian visual artists, with a particular focus on promoting cultural heritage. NFTs, as digital assets secured by blockchain technology, offer artists innovative methods to monetize their creations while preserving authenticity and provenance. Despite their growing popularity, Malaysian artists face challenges such as limited knowledge and skepticism regarding the effective use of NFT technology. This research aims to identify strategies and best practices for incorporating NFTs into digital art marketing, particularly in the context of cultural heritage preservation. Through a combination of content analysis and semi-structured interviews with five experts, this study applies the soft laddering technique to explore the perceived benefits and challenges of NFTs. The findings highlight the significant potential of NFTs to enhance Malaysian artists' access to global markets and strengthen the preservation of cultural heritage. The study underscores the need for improved technological literacy and NFT utilization among Malaysian artists to maximize their presence and competitiveness in the evolving digital art marketplace.

Educação Inteligente e Imersiva e Educação para o Desenvolvimento Sustentável

This article investigates the transformative potential of Smart and Immersive Education in promoting Education for Sustainable Development (ESD), connecting technological innovations to global sustainability demands. Through a conceptual model, it explores the contributions of emerging Technologies — such as Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI) — for the transformation of education, making it adaptive, engaging, and aligned with the Sustainable Development Goals (SDGs). The argument is made that these technologies enhance learning and empower both managers and students to take on leading roles in addressing socio-environmental challenges. The study provides a basis for new empirical research and educational practices, suggesting pathways to turn environmental and social challenges into opportunities for innovation and positive impact.

Managing the challenges of paying for gene therapy: strategies for market action and policy reform in the United States.

Gene therapies delivered through a single administration have revolutionized treatment possibilities for many patients living with serious or fatal conditions such as spinal muscular atrophy, hemophilia and sickle cell disease. However, shadowing the excitement about the transformational potential of many gene therapies has been widespread concern about the combination of uncertainty in the durability of their benefits over the long term and the short-term financial shock of high prices. As the healthcare payment ecosystem prepares for the growing number of gene therapies entering the market, three key interconnected challenges must be addressed: determining a fair price, managing clinical uncertainty and managing short-term budget impacts. This paper identifies specific policy reforms and market-based tools to help the US health system address these challenges to achieve more equitable and affordable access for patients to the growing number of gene therapies expected to be approved in the coming years.

Harnessing full-text publications for deep insights into C. elegans and Drosophila biomaps.

In the rapidly expanding domain of scientific research, tracking and synthesizing information from the rapidly increasing volume of publications pose significant challenges. To address this, we introduce a novel high-throughput pipeline that employs ChatGPT to systematically extract and analyze connectivity information from the full-texts and abstracts of 24,237 and 150,538 research publications concerning Caenorhabditis elegans and Drosophila melanogaster, respectively. This approach has effectively identified 200,219 and 1,194,587 interactions within the C. elegans and Drosophila biomaps, respectively. Utilizing Cytoscape Web, we have developed a searchable online biomaps that link relevant keywords to their corresponding PubMed IDs, thus providing seamless access to an extensive knowledge network encompassing C. elegans and Drosophila. Our work highlights the transformative potential of integrating artificial intelligence with bioinformatics to deepen our understanding of complex biological systems. By revealing the intricate web of relationships among key entities in C. elegans and Drosophila, we offer invaluable insights that promise to propel advancements in genetics, developmental biology, neuroscience, longevity, and beyond. We also provide details and discuss significant nodes within both biomaps, including the insulin/IGF-1 signaling (IIS) and the notch pathways. Our innovative methodology sets a robust foundation for future research aimed at unravelling complex biological networks across diverse organisms. The two databases are available at worm.bio-map.com and drosophila.bio-map.com.

An Evaluation Framework of Industry 4.0’s Impact on SDGs and its Application to AI Reporting

Digital technologies of Industry 4.0 (I4.0) are key drivers of sustainable development. However, addressing the impact of I4.0 on Sustainable Development Goals (SDGs) requires overcoming the challenge of lacking suitable assessment tools. Despite sustainability reporting serves to assess how companies face sustainability challenges, communicate efforts, and promote a sustainable corporate culture, a critical need arises for a comprehensive tool that clarifies the impact of I4.0 technologies on the economic, environmental, and social dimensions of sustainability. This paper proposes a conceptual framework that builds on existing literature regarding how I4.0 technologies contribute to SDGs and leverages the recognized linking between SDGs and Global Reporting Initiative (GRI) Standards to improve the reporting of SDG progress. Thus, the proposed framework identifies the GRI-based Key Performance Indicators necessary for a thorough understanding of how innovation stemming from I4.0, significantly impacts SDGs. Through a content analysis of sustainability reports of innovative companies in the electronic field, the study shows how the proposed framework can be applied in practice. Focusing on Artificial Intelligence (AI), the application case allows a comprehensive understanding of the transformative potential of AI solutions towards sustainable development.

Leveraging Cloud Native Development for Ecosystem Strategy

This article explores the intersection of cloud-native development and business ecosystem strategies, highlighting how cloud-native technologies create scalable, flexible, and interoperable platforms that foster collaboration and innovation. It examines the composition and dynamics of business ecosystems, the key advantages of cloud-native development for ecosystem strategies, and practical approaches for implementing cloud-native ecosystem platforms. The paper provides insights into the transformative potential of these technologies in shaping modern business ecosystems, supported by market data, case studies, and industry trends.

BN SO01 - Fluorescent Precision: Advancing Laparoscopic Cholecystectomy with Indocyanine Green ( ICG )

Abstract Background Laparoscopic cholecystectomy represents a significant advancement in surgical techniques for gallbladder disease. However, challenges persist in accurately identifying critical structures such as the bile ducts, leading to complications. Indocyanine Green (ICG), a fluorescent dye with unique properties, has emerged as a promising tool to enhance precision and safety in laparoscopic cholecystectomy. Originally developed for infrared photography, ICG's fluorescence capabilities have been harnessed in various medical applications, including ophthalmology and surgical procedures. Its ability to provide real-time visualization of the biliary anatomy facilitates better surgical navigation, reducing the risk of inadvertent injury and improving overall outcomes. Method Comprehensive review of existing literature and research on laparoscopic cholecystectomy, with a focus on the role of Indocyanine Green (ICG) in enhancing surgical precision and safety. Relevant articles, clinical trials, and meta-analyses were identified through databases such as PubMed, Google Scholar, and Scopus. Search terms included "laparoscopic cholecystectomy," "Indocyanine Green," "fluorescence imaging," and related terms. Results The results of this study highlight the significant role of Indocyanine Green (ICG) in laparoscopic cholecystectomy. Through a comprehensive review of existing literature and research, it was found that ICG integration enhances surgical precision and safety by providing real-time visualization of the biliary anatomy. The use of ICG reduces the risk of inadvertent injury and improves overall surgical outcomes. Despite challenges such as technical complexities and safety considerations, the evidence strongly supports the transformative potential of ICG in modern surgery. Conclusion In conclusion, the integration of Indocyanine Green (ICG) into laparoscopic cholecystectomy represents a pivotal advancement in surgical practice. The findings of this study underscore the importance of cautious navigation and collaboration in maximizing the benefits of ICG. By addressing challenges through innovation and evidence-based guidelines, ICG has the potential to revolutionize the landscape of minimally invasive surgery, offering patients safer procedures and better outcomes. As research continues to evolve, the journey of ICG in laparoscopic cholecystectomy holds promise for a future where precision and safety converge, ultimately shaping the standard of surgical excellence.